Himanshu Nandanwar is a highly motivated and accomplished individual with a strong background in Information Systems. He holds a Master of Technology degree from Delhi Technological University and a Bachelor of Technology degree in Information Technology. With a keen interest in emerging technologies such as Internet of Things (IoT), Communication Networks, High-Speed Computing, and Cloud Computing, Himanshu has demonstrated expertise in these areas through his academic projects, research publications, and professional experiences. His academic achievements, practical skills, and extracurricular involvement reflect his commitment to personal and professional growth.
Author Metrics:
Scopus Profile
ORCID Profile
Google Scholar Profile
Himanshu Nandanwar has established a reputable presence in the academic community with a notable set of author metrics. His research contributions have been recognized through publication in reputable journals and conference proceedings indexed in SCOPUS and IEEE databases. His publications demonstrate his expertise in various domains, including IoT-based monitoring systems, machine learning for malware detection, and smart environment monitoring. Through his prolific research output, Himanshu has garnered citations and contributed valuable insights to the field of Information Systems.
- Citations: 27 citations from 22 documents
- Documents: 11 documents authored by Himanshu Nandanwar
- h-index: 3
Education:
Himanshu Nandanwar pursued his academic journey at Delhi Technological University, where he earned his Bachelor of Technology and Master of Technology degrees in Information Technology and Information Systems, respectively. His outstanding academic performance, as reflected by his high CGPA and academic honors, underscores his dedication to excellence in education. Himanshu’s education provided him with a solid foundation in computer science and information technology, enabling him to pursue his research interests and professional aspirations effectively.
Research Focus:
Himanshu Nandanwar’s research interests encompass a broad spectrum of topics within the realm of Information Systems. He specializes in areas such as Internet of Things (IoT), Communication Networks, High-Speed Computing, Cloud Computing, and the application of Artificial Intelligence for societal benefit. His research endeavors aim to address real-world challenges and contribute to the advancement of technology-driven solutions in various domains, including smart cities, healthcare, agriculture, and environmental monitoring.
Professional Journey:
Himanshu Nandanwar’s professional journey is marked by valuable experiences gained through internships, teaching appointments, and collaborative projects. He has interned at renowned organizations such as Bombardier Pvt. Ltd and the Defense Research and Development Organisation, where he acquired hands-on experience in aerospace, transportation, and defense technologies. Additionally, his roles as a research assistant and lab assistant at Delhi Technological University underscore his commitment to academic excellence and knowledge dissemination.
Honors & Awards:
Himanshu Nandanwar has been recognized for his academic achievements and contributions to various domains. He received a government scholarship from AICTE for qualifying the GATE exam, acknowledging his academic prowess. Additionally, he has secured top ranks in his Master of Technology program and excelled in competitive events such as the Computer Science Olympiad. Himanshu’s dedication to both academic and extracurricular pursuits has earned him accolades and honors throughout his academic journey.
Publications Noted & Contributions:
Himanshu Nandanwar’s research contributions are notable for their impact and relevance in the field of Information Systems. His publications, spanning journals and conference proceedings, address critical topics such as IoT-based monitoring systems, machine learning for malware detection, and smart environment monitoring. Through his research endeavors, Himanshu has contributed valuable insights, methodologies, and solutions to address contemporary challenges in technology and society.
Deep learning enabled intrusion detection system for Industrial IoT environment
- Authors: H Nandanwar, R Katarya
- Journal: Expert Systems with Applications
- Year: 2024
- Summary: This paper likely introduces a deep learning-based intrusion detection system tailored for Industrial Internet of Things (IIoT) environments. The system likely utilizes advanced neural network architectures to detect and prevent intrusions in IIoT networks.
TL-BILSTM IoT: transfer learning model for prediction of intrusion detection system in IoT environment
- Authors: H Nandanwar, R Katarya
- Journal: International Journal of Information Security
- Year: 2023
- Summary: This paper appears to propose a transfer learning-based model called TL-BILSTM IoT for predicting intrusion detection in IoT environments. It likely explores the use of transfer learning techniques to enhance the performance of intrusion detection systems in IoT networks.
A data-driven: Design, modeling analytics approach for smart IoT based air pollution monitoring system
- Authors: AVS Yeswanth, H Nandanwar, K Sharma, A Chauhan
- Conference: 2023 Second International Conference on Informatics (ICI)
- Year: 2023
- Summary: This paper likely presents a data-driven approach for designing and modeling a smart IoT-based air pollution monitoring system. It may involve the application of data analytics techniques to analyze air pollution data collected from IoT sensors.
IoT Security: A Deep Learning-Based Approach for Intrusion Detection and Prevention
- Authors: B Kauhsik, H Nandanwar, R Katarya
- Conference: 2023 International Conference on Evolutionary Algorithms and Soft Computing
- Year: 2023
- Summary: This paper seems to discuss a deep learning-based approach for enhancing security in IoT environments, specifically focusing on intrusion detection and prevention. It likely explores the use of deep learning techniques to mitigate security threats in IoT systems.
A Systematic Literature Review: Approach Toward Blockchain Future Research Trends
- Authors: H Nandanwar, R Katarya
- Conference: 2023 International Conference on Device Intelligence, Computing and …
- Year: 2023
- Summary: This paper appears to present a systematic literature review on future research trends in blockchain technology. It likely discusses emerging topics and directions for research in the blockchain domain.
Research Timeline:
Himanshu Nandanwar’s research timeline reflects his progressive journey from academia to professional practice. Beginning with his undergraduate studies, he laid the foundation for his research interests through academic projects and internships. His Master of Technology program provided him with opportunities to delve deeper into his areas of specialization, culminating in the publication of research papers in reputable journals and conference proceedings. Himanshu’s research timeline demonstrates his continuous growth, learning, and contributions to the field of Information Systems.
Collaborations and Projects:
Himanshu Nandanwar has engaged in collaborative projects and research initiatives, leveraging his expertise and interdisciplinary approach to address complex challenges. His involvement in projects such as CBTC signaling systems, malware detection using machine learning algorithms, and IoT-based smart environment monitoring exemplifies his versatility and proficiency in diverse domains. Through collaborations with peers, industry partners, and academic institutions, Himanshu has contributed to innovative solutions and knowledge dissemination in his field.
